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All Journal International Journal of Industrial Optimization (IJIO) Journal of Social Comunity Services
Yuniar, Mylenia Martina
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Humanities Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Prediction analysis of retail store sales level using neural network algorithm method based on customer segments Yuniar, Mylenia Martina; Ambarwati, Rita
International Journal of Industrial Optimization Vol. 5 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v5i2.9889

Abstract

Marketing activities are of significant importance to business operations, as they are uniquely positioned to provide value to consumers. The marketing mix represents one of the strategic approaches employed to attain these organizational objectives. However, the company's sales data is only available for consultation in the archives. By understanding customer preferences and requirements, the company can readily develop an effective marketing strategy to compete with similar businesses. Accordingly, this study employs the neural network methodology to forecast sales based on the company's historical sales data. The research method employs a neural network due to its capacity for processing substantial data sets with flexibility. Moreover, the Root Mean Square Error (RMSE) must be employed to ascertain the precision of the utilized model. The findings of this study indicate that the discrepancy between the actual and predicted values is minimal, suggesting that the model is able to accurately represent the data. Similarly, the results of the RMSE (Root Mean Square Error) demonstrate that the model's accuracy is improving, with minimal values observed in each segment. A 4P marketing mix strategy may be employed to enhance the company's sales potential. Based on the findings of the research, it can be posited that the results of the prediction data set, the visual prediction results, and the RMSE using the Neural Network method can be utilized effectively and accurately to forecast sales and assist company owners and management in considering target sales levels in the future.
Upaya Pencegahan Stunting Melalui Kegiatan Sosialisasi pada Ibu Hamil di Dusun Manduro Mojokerto Astutik, Dita Dwi; Rezania, Vanda; Yuniar, Mylenia Martina; Siahaan, M. Rafli Sadar Darmawan; Widyatmiko S, Rizky Febryan
Journal of Social Comunity Services Vol. 1 No. 2 (2024): Journal of Social Comunity Services (JSCS)
Publisher : Antis-publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jscs.v1i2.139

Abstract

Kementerian Kesehatan Republik Indonesia menyatakan bahwa stunting adalah suatu permasalahan gizi yang bisa membuat balita pendek atau tinggi badannya tidak sesuai dengan usia pada umumnya. Maka dari itu, ada upaya yang dilakukan oleh perwakilan KKN-P 46 yaitu kunjungan balita stunting untuk memberikan pendampingan langsung dan melakukan sosialisasi mengenai stunting untuk pencegahan dan penanganan apabila terjadi stunting. Pelaksaan kegiatan ini dilakukan secara luring dan terjun langsung ke lokasi yang terdampak stunting. Perwakilan KKN-P 46 melakukan kunjungan langsung dan mendampingi Ibu Bidan melakukan pemeriksaan pada balita yang terindikasi stunting pada tanggal 7 Februari 2024. Pada tanggal 20 Februari 2024, perwakilan KKN-P 46 melakukan sosialisasi pada ibu hamil guna mencegah terjadinya stunting pada bayi yang akan lahir. Kegiatan ini diharapkan dapat membantu pengetahuan ibu bayi dalam merawat bayi di dalam kandungannya maupun bayinya yang telah lahir.
Co-Authors Astutik, Dita Dwi Rita Ambarwati Sukmono Siahaan, M. Rafli Sadar Darmawan Vanda Rezania Widyatmiko S, Rizky Febryan